
% Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
% Date and time: Tue, Jul 04, 2023 - 21:14:01
\begin{table}[!htbp] \centering 
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\begin{tabular}{@{\extracolsep{5pt}}lcccc} 
\\[-1.8ex]\hline 
\hline \\[-1.8ex] 
 & \multicolumn{4}{c}{\textit{Dependent variable:}} \\ 
\cline{2-5} 
\\[-1.8ex] & \multicolumn{4}{c}{Percentage of Tweets with Narratives} \\ 
 & CGTN & Xinhua & People's Daily & China Daily \\ 
\\[-1.8ex] & (1) & (2) & (3) & (4)\\ 
\hline \\[-1.8ex] 
 Baseline Trend & $-$0.005$^{***}$ & 0.01$^{***}$ & $-$0.002$^{***}$ & $-$0.001 \\ 
  & (0.001) & (0.001) & (0.001) & (0.001) \\ 
  & & & & \\ 
 Level Change & 13.84$^{***}$ & $-$2.69$^{**}$ & 9.86$^{***}$ & 5.93$^{***}$ \\ 
  & (1.88) & (1.23) & (1.36) & (1.27) \\ 
  & & & & \\ 
 Trend Change & 0.01$^{***}$ & 0.01$^{***}$ & $-$0.01$^{***}$ & 0.01$^{***}$ \\ 
  & (0.003) & (0.002) & (0.002) & (0.002) \\ 
  & & & & \\ 
 Baseline Percentage Tweets with Narratives & 22.73$^{***}$ & 43.05$^{***}$ & 44.33$^{***}$ & 40.33$^{***}$ \\ 
  & (1.12) & (0.72) & (0.80) & (0.74) \\ 
  & & & & \\ 
\hline \\[-1.8ex] 
Observations & 2,340 & 2,418 & 2,306 & 2,429 \\ 
Log Likelihood & $-$9,351.87 & $-$9,240.43 & $-$8,963.11 & $-$9,387.81 \\ 
Akaike Inf. Crit. & 18,715.73 & 18,492.86 & 17,938.22 & 18,787.63 \\ 
Bayesian Inf. Crit. & 18,750.27 & 18,527.59 & 17,972.67 & 18,822.39 \\ 
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\textit{Note:}  & \multicolumn{4}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
\end{table} 
